Center Introduction

SMIRC at ShanghaiTech University focuses on application of information technologies in medicine and healthcare. The mission of our center is to develop future healthcare technologies that are intelligent, affordable, precise. Our research focus on theoretical research and clinical application of disease mechanisms, biological signal processing, intelligent diagnosis, physiological modeling and medical device safety. Our center consists of more than 10 full-time faculty members and affliated researchers. Our research area include medical image processing, AI in healthcare, big data in healthcare, intelligent medical devices and bio-informatics. Our center promotes ShanghaiTech’s international influence in biomedical engineeringhas by establishing comprehensive collaborations with hospitals and medical industries and educating researchers with inter-disciplinary vision.

Center Directors

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Jie Zheng

Associate Professor

  • AI for Science
  • Bioinformatics
  • Big data in healthcare
  • Artificial Intelligence
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Rui Zheng

Assistant Professor

  • Medical signal and image processing
  • Ultrasound modeling imaging based on deep learning methods
  • AI medical diagnosis and information analysis
  • Inverse theory on biomedical ultrasound application
  • Development of integrated mobile ultrasound system

Principal Investigators

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Xiong Wang

Associate Professor

  • Medical Imaging
  • Intelligent medical devices
  • Hybrid electromagnetic-acoustic imaging (thermoacoustic imaging and photoacoustic imaging)
  • Electromagnetic and acoustic metasurfaces and metamaterials
  • Millimeter-wave and terahertz imaging
  • Cancer detection and therapy, biomedical detection, medical instruments
  • Imaging algorithms, compressive sensing
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Chaofeng Ye

Associate Professor

  • Research and application of magnetic sensors
  • Electromagnetic non-destructive testing
  • Biological weak magnetic measurement
  • Intelligent signal/image processing
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Zhihao Jiang

Assistant Professor

  • Digital Twins in Healthcare
  • Brain Machine Interface
  • Formal Methods
  • Intelligent Transportation
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Yuyao Zhang

Assistant Professor

  • Medical Image Analysis
  • Magnetic Resonance Imaging
  • Dynamic and Quantitative Tomography Imaging
  • AI for Image Reconstruction
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Lin Xu

Assistant Professor

  • Biomedical signal processing
  • Adaptive filtering, Blind Source Separation, Machine learning
  • Wearable medical devices
  • Neuromuscular rehabilitation
  • Ambulatory monitoring
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Wuwei Ren

Assistant Professor

  • Optical imaging
  • Optical simulation, Image reconstruction & Image processing
  • Multimodal imaging, specialized in MRI-optics hybrid systems
  • Image-guided surgery & Preclinical imaging
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Xiran Cai

Assistant Professor

  • Ultrasound imaging
  • Deep learning in ultrasound imaging
  • Ultrasound therapy
  • Medical device

Labs

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All Medical Imaging AI in Healthcare Big Data in Healthcare Intelligent Medical Devices Bioinformatics Biosignal Nondestructive Testing
ElectroMagnetic and Acoustic Imaging Laboratory (EMAIL)
Neural network-based microwave, millimeter wave, ultrasound biomedical imaging, brain-computer interface, microwave hypthermia, etc.
ElectroMagnetic and Acoustic Imaging Laboratory (EMAIL)
Scientific AI Lab (SAIL)
AI for Science, AI for Drug Discovery, Biomedical Data Science, Bioinformatics and Computational Biology, Precision Medicine
Scientific AI Lab (SAIL)
Biomedical Ultrasound Lab (BMU)
Spine, cervical spine, carotid artery, spinal ultrasound endoscopy, and ultrasound navigation
Biomedical Ultrasound Lab (BMU)
Biomedical Signal Processing and Instrumentation (BSPI)
Biosignal acquisition and processig
Biomedical Signal Processing and Instrumentation (BSPI)
Human-Cyber-Physical Systems Lab （HCPS)
Develop intelligent systems that assist, instead of replace human in safety-critical domains
Human-Cyber-Physical Systems Lab （HCPS)
Molecular Imaging & Biophotonics Lab (MIB)
Next-generation molecular imaging techniques
Molecular Imaging & Biophotonics Lab (MIB)
Precise Sensing And Intelligent Testing Lab (PSIT)
Nondestructive testing, electromagnetic field measurement and imaging, electromagnetic field and circuit system modeling
Precise Sensing And Intelligent Testing Lab (PSIT)
Smart Medical Image Learning and Enhancement Lab (SMILE)
High-Resolution MRI，Fetal Brain Development Trajectory，Multi-modality Image Super-Resolution and Denoising，Quantitative Susceptibility Mapping
Smart Medical Image Learning and Enhancement Lab (SMILE)
Smart Ultrasound Imaging and Therapy Lab (SUIT)
Novel ultrasound imaging instruments and methods tailored to the needs of ultrasound therapy
Smart Ultrasound Imaging and Therapy Lab (SUIT)

News

Systematic Evaluation of AI Methods for Anticancer Drug Target Discovery by Zheng Jie’s Team and Collaborators
In October 2024, a research paper titled “Benchmarking Machine Learning Methods for Synthetic Lethality Prediction in Cancer” was published in Nature Communications by the research group led by Zheng Jie from the School of Information Science and Technology at ShanghaiTech University, in collaboration with other partners.
Last updated on Feb 13, 2025
Lab
Systematic Evaluation of AI Methods for Anticancer Drug Target Discovery by Zheng Jie’s Team and Collaborators
The Best Paper Award at MICCAI 2024 has been granted to Dr. Hongbo Chen, a doctoral scholar from the School of Information Science, and his research collaborators, for their scholarly contributions
On the afternoon of October 9, 2024, the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024), held in Marrakesh, Morocco, officially announced its array of awards, including the Best Paper Award. Dr. Hongbo Chen, a Ph.D. candidate from the Department of Information Science and Technology at ShanghaiTech University, under the guidance of Dr. Zheng Rui, was selected to give an oral presentation based on his research on three-dimensional multi-view ultrasound reconstruction. His paper was distinguished with the singular honor of being awarded the BestPaper Award.
Oct 17, 2024
Lab
The Best Paper Award at MICCAI 2024 has been granted to Dr. Hongbo Chen, a doctoral scholar from the School of Information Science, and his research collaborators, for their scholarly contributions
Cover-Featured Article in Computer
Our paper “Environment Modeling During Model Checking of Cyberphysical Systems” was cover-featured in Computer September 2021 issue.
Last updated on Sep 11, 2021
Lab
Cover-Featured Article in Computer

Featured Publications

Benchmarking machine learning methods for synthetic lethality prediction in cancer
Synthetic lethality (SL) is a gold mine of anticancer drug targets, exposing cancer-specific dependencies of cellular survival. To …
PDF Cite Code Dataset Lab DOI
Benchmarking machine learning methods for synthetic lethality prediction in cancer
Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction
The reconstruction of high-quality shape geometry is crucial for developing freehand 3D ultrasound imaging. However, the shape …
PDF Cite Code Lab DOI
Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction
Environment Modeling During Model Checking of Cyber-Physical Systems
A domain-independent framework which can balance coverage and expressiveness of environment models during closed-loop model checking of Cyber-Physical Systems.
Cite Lab DOI
Environment Modeling During Model Checking of Cyber-Physical Systems
Model-based Clinical Assist System for Cardiac Ablation
Enumerate suspected heart conditions during the procedure to provide more rigorous and intuitive interpretation of current understanding of the patient’s heart, which improves the accuracy and efficiency of the diagnosis and relieves the physicians from demanding low-level reasoning.
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Model-based Clinical Assist System for Cardiac Ablation

Recent Publications

Benchmarking machine learning methods for synthetic lethality prediction in cancer
Jie Zheng
PDF Cite Code Dataset Lab DOI
Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction
Rui Zheng
PDF Cite Code Lab DOI
Environment Modeling During Model Checking of Cyber-Physical Systems
Zhihao Jiang
Cite Lab DOI
Model-based Clinical Assist System for Cardiac Ablation
Zhihao Jiang
Cite Lab DOI

Popular Topics

AI Arrhythmia Awards Bigdata Bioinformatics Biosignal Diagnosis DigitalTwin FormalMethod Freehand 3D ultrasoun Imaging MedicalDevices ModelChecking Modeling Multi-view reconstruction Neural shape representation NondestructiveTesting TimedAutomata UPPAAL V&V

Contact

  • wangli@shanghaitech.edu.cn